bobvanluijt

32 ms·

61.
Wardley Maps on GH(github.com)
2 points by bobvanluijt 3y ago|0 comments
62.
by bobvanluijt 3y ago
(I’m affiliated with Weaviate) You might want to check out this getting started guide. It takes a couple of minutes, and you're good to go https://weaviate.io/developers/weaviate/quickstart
63.
by bobvanluijt 3y ago
This will be solved in Weaviate https://github.com/weaviate/weaviate/issues/2424
64.
Weaviate: An Architectural Deep Dive (CMU Database Group) [video](youtube.com)
3 points by bobvanluijt 3y ago|0 comments
65.
Using LLMs for Search with Dense Retrieval and Reranking(txt.cohere.com)
1 points by bobvanluijt 3y ago|0 comments
66.
Retrieval Augmented Generation (Rag): What, Why and How?(llmstack.ai)
1 points by bobvanluijt 3y ago|0 comments
67.
Gorilla LLM <> Weaviate – natural language commands into GraphQL(weaviate.io)
15 points by bobvanluijt 3y ago|1 comments
68.
by bobvanluijt 3y ago
> The Auto API allows you to simply tell Weaviate what kind of search you want and WeaviateGraphQLGorilla formats the request under the hood.
69.
Running Weaviate Vector DB in Snowflake Using Snowpark Container Services(medium.com)
3 points by bobvanluijt 3y ago|0 comments
70.
by bobvanluijt 3y ago
Would be great to include inference times as well
71.
by bobvanluijt 3y ago
Ooo we can help (I'm affiliated with Weaviate). You mind posting it here? https://forum.weaviate.io/
72.
by bobvanluijt 3y ago
There is a paywall, but it's a nice article
73.
A Deep Dive into Weaviate's Fusion Algorithms for Hybrid Search(weaviate.io)
24 points by bobvanluijt 3y ago|6 comments
74.
by bobvanluijt 3y ago
> Is there some weird toxic subculture in the vector database space (I work for Weaviate) Unfortunately, some players in the space (who are on this list) are cheating and playing an unfair game. I guess that this comes with a rapidly gro
75.
by bobvanluijt 3y ago
> despite being the first […] This is false > […] and most popular vector database Based on what?
76.
by bobvanluijt 3y ago
Ah - Sterling, always great. He didn't do his iconic closing speech at SXSW this year. Does anybody know why?
77.
Retrieval Augmented Generation and Generative Feedback Loops [video](youtube.com)
4 points by bobvanluijt 3y ago|2 comments
78.
by bobvanluijt 3y ago
Demo showing Retrieval Augmented Generation (RAG) and Generative Feedback Loops (RFL) on an Airbnb dataset.
79.
by bobvanluijt 3y ago
This is really cool, especially with enterprises moving to using LLMs in production. These K8s tools make a lot of sense.
80.
by bobvanluijt 3y ago
Good point re: implement/apply
81.
Devs looking to implement LLMs are turning to retrieval augmented generation(supervised.news)
4 points by bobvanluijt 3y ago|2 comments
82.
Nils Reimers on Cohere Search AI [video](youtube.com)
1 points by bobvanluijt 3y ago|0 comments
83.
Large Language Models with Semantic Search(deeplearning.ai)
3 points by bobvanluijt 3y ago|0 comments
84.
by bobvanluijt 3y ago
Very cool to see Weaviate + retrieval augmented generation in there
85.
Replication Architecture for a Vector Database(weaviate.io)
1 points by bobvanluijt 3y ago|0 comments
86.
Hybrid Vector Search Explained(weaviate.io)
1 points by bobvanluijt 3y ago|0 comments
87.
by bobvanluijt 3y ago
Will there be a video stream?
88.
A Gentle Introduction to Vector Databases(weaviate.io)
1 points by bobvanluijt 3y ago|0 comments
89.
Deploy and fine-tune large language models on K8s(github.com)
28 points by bobvanluijt 3y ago|0 comments
90.
Weaviate Vector Database(github.com)
3 points by bobvanluijt 3y ago|0 comments

More ›